Set the policy
Define per-agent spend caps, permitted services, and approval thresholds.
Your agents spend money while you sleep. Set the limits.
Become a design partnerThe policy layer above x402 / USDC rails.PROPOSED ARCHITECTURE · EVERY PAYMENT CHECKS POLICY FIRST
while (retry) {
await paidApi.call();
}A loop shouldn’t set your budget.An agent calls a paid API. Then it loops. Without a spend policy in the path, a small request can become an expensive surprise. Put limits and approvals where the spending happens, and give every transaction a record.
Explore the intended policy behavior. This is a local illustration: it does not connect a wallet, call paid APIs, or move funds.
The service is on the allowlist and the request stays within the configured spending policy.
policy.evaluate(request)Service approved · Budget available
Record the request and its policy decision, then allow the payment to proceed.
Define per-agent spend caps, permitted services, and approval thresholds.
The proposed control layer evaluates spending against policy before execution. Over the limit? Block it or route it for approval.
One ledger for who spent what, on which service, against which policy.
AI-agent teams already using paid APIs or services
Startups building on x402 or USDC rails
Founders who need limits on autonomous spending
—Agents that never call paid services
—Teams looking for a wallet or payment rail
The design-partner phase is about understanding how your agents spend and where controls must sit.
Identify which agents call paid services and where an authorization decision can be enforced.
Agree on spend limits, permitted services, approval ownership, and what happens when a check cannot complete.
Review the proposed record of each request, the applicable policy, and the resulting allow, review, or block decision.
Clear expectations make a better pilot.
No. The proposed product is a policy layer above your payment rails. It does not replace custody, wallets, or settlement infrastructure.
No. This is an interactive design preview. Its examples run only in your browser and do not connect to production agents or payment systems.
The design-partner discussion includes fail-closed behavior, escalation, and recovery. Those enforcement details must be agreed and tested before any production use.
We’re building with teams whose agents spend real money today. Shape the control plane around your spend patterns, free during the design phase, with a direct line to me.